# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
jms_dwd__dwd_wide_sign_trace_waybill_step_dt_new = SparkSqlOperator(
    task_id='jms_dwd__dwd_wide_sign_trace_waybill_step_dt_new',
    task_concurrency=1,
    pool_slots=2,
    master='yarn',
    execution_timeout=timedelta(minutes=90),
    email=['rongguangfan@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='jms_dwd__dwd_wide_sign_trace_waybill_step_dt_new_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms_data_back_up/dwd/dataplat/dwd_wide_sign_trace_waybill_step_dt_new/execute.sql',
    driver_memory='20G',
    driver_cores=8,
    retries=1,
    # email=['rongguangfan@jtexpress.com','yl_bigdata@yl-scm.com'],
    executor_cores=12,
    executor_memory='18G',
    num_executors=120,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
          'spark.dynamicAllocation.maxExecutors': 150,  # 动态资源最大扩容 Executor 数
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 60,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
          'spark.executor.memoryOverhead': '6G',  # 堆外内存
          'spark.sql.shuffle.partitions': 8000,
          #'spark.default.paralleism': 5000,
          'spark.hadoop.hive.exec.dynamic.partition.mode': 'true',
          'spark.reducer.maxSizeInFlight': '128M',
          'spark.shuffle.consolidateFiles': 'true',
          'spark.shuffle.memoryFraction': '0.8',
          'spark.shuffle.file.buffer':'128k',
          'spark.executor.extraJavaOptions': '-XX:+UseG1GC -XX:ParallelGCThreads=10',
          'spark.driver.extraJavaOptions': '-XX:+UseG1GC'
        },
    hiveconf={'hive.exec.dynamic.partition': 'true',  # 动态分区
              'hive.exec.dynamic.partition.mode': 'nonstrict',
              'hive.exec.max.dynamic.partitions': 91,  # 每天生成 60 个分区
              'hive.exec.max.dynamic.partitions.pernode': 91,  # 每天生成 60 个分区
              },
    yarn_queue='pro',
)
